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Volumn , Issue , 2011, Pages

Fingerprint-based technique for indoor localization in wireless sensor networks using Fuzzy C-Means clustering algorithm

Author keywords

fingerprint technique; Fuzzy C Means; localization; wireless sensor network

Indexed keywords

CLUSTERING TECHNIQUES; EUCLIDEAN DISTANCE; EXPERIMENT DATA; FCM ALGORITHM; FEATURE VECTORS; FINGERPRINT DATABASE; FINGERPRINT TECHNIQUE; FUZZY C MEAN; FUZZY C-MEANS CLUSTERING ALGORITHMS; IEEE 802.15.4 STANDARDS; INDOOR LOCALIZATION; LOCALIZATION; LOCALIZATION TECHNIQUE; LOW POWER; RADIO FREQUENCIES; RECEIVED SIGNAL STRENGTH INDICATORS; RESEARCH TOPICS; TARGET LOCATION; TARGET NODES; WIRELESS SENSOR; ZIG-BEE;

EID: 84857329363     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISPACS.2011.6146167     Document Type: Conference Paper
Times cited : (23)

References (5)
  • 1
    • 77952530556 scopus 로고    scopus 로고
    • Signal subspace interpolation from discrete measurement samples in constructing a database for location fingerprint technique
    • September
    • P. Chemtanomwong, J. Takada, and H. Tsuji, "Signal Subspace Interpolation from Discrete Measurement Samples in Constructing a Database for Location Fingerprint Technique," IEICE Trans. Commun., voI.E92-B, no.9, pp. 2922-2930, September 2009.
    • (2009) IEICE Trans. Commun. , vol.E92-B , Issue.9 , pp. 2922-2930
    • Chemtanomwong, P.1    Takada, J.2    Tsuji, H.3
  • 4
    • 78049348440 scopus 로고    scopus 로고
    • A new texture segmentation method based on the fuzzy c-means algoritm and statistical features
    • M. Sayadi, L. Tlig, and F. Fnaiech, "A New Texture Segmentation Method Based on the Fuzzy C-Means Algoritm and statistical Features," Applied Mathematical Sciences, Vol, no.60, pp. 2999-3007, 2007.
    • (2007) Applied Mathematical Sciences , Issue.60 , pp. 2999-3007
    • Sayadi, M.1    Tlig, L.2    Fnaiech, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.